Neural network design and the complexity of learning
Neural network design and the complexity of learning
The cascade-correlation learning architecture
Advances in neural information processing systems 2
Neural-Network-Based Fuzzy Logic Control and Decision System
IEEE Transactions on Computers - Special issue on artificial neural networks
Neural networks and fuzzy systems: a dynamical systems approach to machine intelligence
Neural networks and fuzzy systems: a dynamical systems approach to machine intelligence
Construction of fuzzy inference rules by NDF and NDFL
International Journal of Approximate Reasoning - Special issue on fuzzy logic and neural networks for pattern recognition and control
Construction of fuzzy models through clustering techniques
Fuzzy Sets and Systems
Hybrid architectures for intelligent systems
Hybrid architectures for intelligent systems
Adaptive fuzzy systems and control: design and stability analysis
Adaptive fuzzy systems and control: design and stability analysis
Automatic design and adaptation of fuzzy systems and genetic algorithms using soft computing techniques
Fuzzy logic and neurofuzzy applications explained
Fuzzy logic and neurofuzzy applications explained
Evolutionary computation: toward a new philosophy of machine intelligence
Evolutionary computation: toward a new philosophy of machine intelligence
Local and global optimization algorithms for generalized learning automata
Neural Computation
Neural fuzzy systems: a neuro-fuzzy synergism to intelligent systems
Neural fuzzy systems: a neuro-fuzzy synergism to intelligent systems
Fuzzy engineering
Deep combination of fuzzy inference and neural network in fuzzy inference software—FINEST
Fuzzy Sets and Systems - Special issue on connectionist and hybrid connectionist systems for approximate reasoning
Neuro-fuzzy and soft computing: a computational approach to learning and machine intelligence
Neuro-fuzzy and soft computing: a computational approach to learning and machine intelligence
Fuzzy evolutionary computation
Fuzzy evolutionary computation
On the combination of fuzzy logic and evolutionary computation: a short review and bibliography
Fuzzy evolutionary computation
Soft computing techniques for the design of mobile robot behaviors
Information Sciences: an International Journal - Special issue on frontiers in evolutionary algorithms
Blondie24: playing at the edge of AI
Blondie24: playing at the edge of AI
Neural Networks for Pattern Recognition
Neural Networks for Pattern Recognition
Hybrid Intelligent Systems
Industrial Applications of Fuzzy Control
Industrial Applications of Fuzzy Control
Neural Network Training Using Genetic Algorithms
Neural Network Training Using Genetic Algorithms
Genetic Algorithms and Fuzzy Logic Systems: Soft Computing Perspectives
Genetic Algorithms and Fuzzy Logic Systems: Soft Computing Perspectives
Hybrid Intelligent Engineering Systems
Hybrid Intelligent Engineering Systems
Foundations of Neuro-Fuzzy Systems
Foundations of Neuro-Fuzzy Systems
Artficial Immune Systems and Their Applications
Artficial Immune Systems and Their Applications
Neuro-Fuzzy Techniques for Intelligent Information Systems
Neuro-Fuzzy Techniques for Intelligent Information Systems
Feedforward Neural Network Methodology
Feedforward Neural Network Methodology
Neuro-Fuzzy Pattern Recognition: Methods in Soft Computing
Neuro-Fuzzy Pattern Recognition: Methods in Soft Computing
Fuzzy Sets Engineering
Fuzzy Learning and Applications
Fuzzy Learning and Applications
A Theory of Learning and Generalization
A Theory of Learning and Generalization
ALEC: An Adaptive Learning Framework for Optimizing Artificial Neural Networks
ICCS '01 Proceedings of the International Conference on Computational Science-Part II
Evolutionary Cellular Configurations for Designing Feed-Forward Neural Networks Architectures
IWANN '01 Proceedings of the 6th International Work-Conference on Artificial and Natural Neural Networks: Connectionist Models of Neurons, Learning Processes and Artificial Intelligence-Part I
Neuro Fuzzy Systems: Sate-of-the-Art Modeling Techniques
IWANN '01 Proceedings of the 6th International Work-Conference on Artificial and Natural Neural Networks: Connectionist Models of Neurons, Learning Processes and Artificial Intelligence-Part I
Optimal design of neural nets using hybrid algorithms
PRICAI'00 Proceedings of the 6th Pacific Rim international conference on Artificial intelligence
Making use of population information in evolutionary artificialneural networks
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
An online self-constructing neural fuzzy inference network and its applications
IEEE Transactions on Fuzzy Systems
The equivalence between fuzzy logic systems and feedforward neural networks
IEEE Transactions on Neural Networks
Neuro-fuzzy rule generation: survey in soft computing framework
IEEE Transactions on Neural Networks
A neuro-fuzzy framework for predicting ash properties in combustion processes
Neural, Parallel & Scientific Computations - Special issue: Advances in intelligent systems and applications
Neuro-fuzzy modelling of export behaviour of multinational corporation subsidiaries
Neural, Parallel & Scientific Computations - Special issue: Computing intelligence in management
Modeling intrusion detection system using hybrid intelligent systems
Journal of Network and Computer Applications - Special issue: Network and information security: A computational intelligence approach
A hybrid learning algorithm for a class of interval type-2 fuzzy neural networks
Information Sciences: an International Journal
Combinations of case-based reasoning with other intelligent methods
International Journal of Hybrid Intelligent Systems - CIMA-08
Computer Methods and Programs in Biomedicine
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The integration of different learning and adaptation techniques to overcome individual limitations and to achieve synergetic effects through the hybridization or fusion of these techniques has, in recent years, contributed to a large number of new intelligent system designs. Computational intelligence is an innovative framework for constructing intelligent hybrid architectures involving Neural Networks (NN), Fuzzy Inference Systems (FIS), Probabilistic Reasoning (PR) and derivative free optimization techniques such as Evolutionary Computation (EC). Most of these hybridization approaches, however, follow an ad hoc design methodology, justified by success in certain application domains. Due to the lack of a common framework it often remains difficult to compare the various hybrid systems conceptually and to evaluate their performance comparatively. This chapter introduces the different generic architectures for integrating intelligent systems. The designing aspects and perspectives of different hybrid architectures like NN-FIS, EC-FIS, EC-NN, FIS-PR and NN-FIS-EC systems are presented. Some conclusions are also provided towards the end.